Yes you are missing something -- the underlying ideas of post hoc tests. This is a statistics issue, not an R issue, and so off topic here. Try posting on a statistics forum like stats.stackexchange.com instead.
Cheers, Bert Bert Gunter "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." -- Clifford Stoll On Tue, Jul 21, 2015 at 9:28 AM, Raquel Mendes <raquelgmen...@gmail.com> wrote: > Hi all, > > I performed a Kruskal-Wallis test on 4 groups, 13 variables, using > kruskal.test. I then applied a pos-hoc on the variables significant at > p<0.05, using kruskalmc. The problem is that two of the significant > variables on the kruskal-wallis test (with p=0.03276 and p=0.03537) didn´t > showed significant diferences between any groups in the pos hoc test. > > I'm fairly new to R and not exactly a statistic genius, so I don´t know if > I am doing something wrong or just misinterpreting the results. > > I am missing something here? Is there some p adjustment in these tests that > I don´t now about? > > Thank you, > > Raquel Mendes > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
